首页> 美国卫生研究院文献>Nanomaterials >Addendum: Shi X.D.; Ruan W.Q.; Hu J.W.; Fan M.Y.; Cao R.S.; Wei X.H. Optimizing the Removal of Rhodamine B in Aqueous Solutions by Reduced Graphene Oxide-Supported Nanoscale Zerovalent Iron (nZVI/rGO) Using an Artificial Neural Network-Genetic Algorithm (ANN-GA). Nanomaterials 2017 7 134

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Addendum: Shi X.D.; Ruan W.Q.; Hu J.W.; Fan M.Y.; Cao R.S.; Wei X.H. Optimizing the Removal of Rhodamine B in Aqueous Solutions by Reduced Graphene Oxide-Supported Nanoscale Zerovalent Iron (nZVI/rGO) Using an Artificial Neural Network-Genetic Algorithm (ANN-GA). Nanomaterials 2017 7 134

机译：附录：施贤德; W.Q.阮；胡建伟;范M曹R.S .;魏小华使用人工神经网络遗传算法（ANN-GA）通过还原的氧化石墨烯负载的纳米零价铁（nZVI / rGO）优化去除水中的若丹明B。纳米材料20177134

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期刊名称 Nanomaterials
作者
Xuedan Shi; Wenqian Ruan; Jiwei Hu; Mingyi Fan; Rensheng Cao; Xionghui Wei;
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年(卷),期 2017(7),10
年度 2017
页码 309
总页数 2
原文格式 PDF
正文语种
中图分类生化遗传学;生化药理学;
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1. Optimizing the Removal of Rhodamine B in Aqueous Solutions by Reduced Graphene Oxide-Supported Nanoscale Zerovalent Iron (nZVI/rGO) Using an Artificial Neural Network-Genetic Algorithm (ANN-GA) [J] . Xuedan Shi, Wenqian Ruan, Jiwei Hu, Nanomaterials . 2017,第6期

机译：使用人工神经网络 - 遗传算法（ANN-GA），优化石墨烯氧化物支持的纳米透视氮（NZVI / RGO）中的罗丹明B在水溶液中去除
2. Artificial Neural Network Modeling and Genetic Algorithm Optimization for Cadmium Removal from Aqueous Solutions by Reduced Graphene Oxide-Supported Nanoscale Zero-Valent Iron (nZVI/rGO) Composites [J] . Mingyi Fan, Tongjun Li, Jiwei Hu, Materials . 2017,第5期

机译：石墨烯氧化纳米级零价铁（NZVI / RGO）复合材料中镉从水溶液中除去水溶液的人工神经网络建模与遗传算法优化
3. Optimizing the Removal of Rhodamine B in Aqueous Solutions by Reduced Graphene Oxide-Supported Nanoscale Zerovalent Iron (nZVI/rGO) Using an Artificial Neural Network-Genetic Algorithm (ANN-GA) [O] . Xuedan Shi, Wenqian Ruan, Jiwei Hu, 2017

机译：人工神经网络遗传算法（ANN-GA）通过还原氧化石墨烯负载的纳米零价铁（nZVI / rGO）优化去除水中的若丹明B
4. Addendum: Shi, X.D.; Ruan, W.Q.; Hu, J.W.; Fan, M.Y.; Cao, R.S.; Wei, X.H. Optimizing the Removal of Rhodamine B in Aqueous Solutions by Reduced Graphene Oxide-Supported Nanoscale Zerovalent Iron (nZVI/rGO) Using an Artificial Neural Network-Genetic Algorithm (ANN-GA). Nanomaterials 2017, 7, 134 [O] . Xuedan Shi, Wenqian Ruan, Jiwei Hu, 2017

机译：附录：shi，X.D。; Ruan，W.Q。;胡，J.W。;范，m.Y。;曹，R.s。;魏，X.H。用人工神经网络遗传算法（aNN-Ga）优化还原氧化石墨烯负载纳米级零价铁（nZVI / rGO）去除水溶液中罗丹明B。纳米材料2017,7,134

Addendum: Shi X.D.; Ruan W.Q.; Hu J.W.; Fan M.Y.; Cao R.S.; Wei X.H. Optimizing the Removal of Rhodamine B in Aqueous Solutions by Reduced Graphene Oxide-Supported Nanoscale Zerovalent Iron (nZVI/rGO) Using an Artificial Neural Network-Genetic Algorithm (ANN-GA). Nanomaterials 2017 7 134

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